Private AI compute improves AI privacy

For decades, Google has developed advanced technologies (pets) to improve a wide range of AI-related use cases. Today, we are taking the next step in creating a useful experience that keeps users safe with private AI in the cloud, a new AI platform that combines the most capable Gemini models with the same protection and privacy assurance that expects the same processing. It is part of our ongoing commitment to deliver AI with security and commitment to the backbone.
AI is evolving to become more helpful, personal and functional. From completing simple requests to AI that can anticipate your needs with appropriate suggestions or treat you well at the right time. This development of power requires advanced thinking and the ability to pay at times more than is possible with the operation of the utility.
That's why we created ai compre private: unlocking the full speed and power of Gemini Cloud Models for ai AI experience, while ensuring your private data remains private to you and not available to anyone else, not Google. A private ai compete allows you to get faster, more useful answers, making it easier to find what you need, get smart suggestions and take action.
How private ai comcoute secures your data in the cloud
As a pioneer in the field of reliable AI, private ai plote in the cloud is our next step in AI processing technology. Build industry-leading security and embedded privacy protections to keep your experience and data safe, guided by our AI safety framework, AI privacy principles and privacy principles.
Private AI Compute is a safe, secure place to process your data that keeps your data isolated and private to you. It processes the same type of sensitive information you would expect to be processed on a device. Within its trusted boundaries, your information, unique information and how you use it are protected by an additional layer of security and privacy on top of our existing AI security.
Private AICTUTE is built on a multi-resourced system created from the ground up around practical security and privacy principles:
- One integrated Google Tech stack: AI's private AI Compute runs on a single Google-powered cloud powered by our custom tensor processing units (TPUS). Privacy and World-Class privacy are combined in this application with Titanium Intelligence Ecculiction (Tie). This design enables Google AI models to run our most efficient and intelligent models in the cloud, with our high levels of privacy and the same beefy infrastructure that already relies on Gmail and search.
- No access: Remote authentication and encryption are used to connect your device to a hardware-protected cloud environment, allowing Gemini models to safely process your data in a special, protected environment. This ensures that the sensitive information processed by the private AI airacte remains available only to you and no one else, not google.



